Fixed-Time Cooperative Tracking Control for Double-Integrator Multi-Agent Systems: A Time-Based Generator Approach
Qiang Chen, Yu Zhao, Guanghui Wen, Guoqing Shi, Xinghuo Yu

TL;DR
This paper introduces a novel fixed-time control approach for double-integrator multi-agent systems using time-based generators, enabling robust consensus and average tracking under disturbances with proven fixed-time convergence.
Contribution
It proposes a new robust fixed-time sliding mode control method and designs fixed-time distributed observers for consensus and average tracking, extendable to high-order systems.
Findings
The proposed methods achieve fixed-time convergence in simulations.
The control strategies effectively handle bounded disturbances.
Observers accurately estimate state disagreements and averages.
Abstract
In this paper, both the fixed-time distributed consensus tracking and the fixed-time distributed average tracking problems for double-integrator-type multi-agent systems with bounded input disturbances are studied, respectively. Firstly, a new practical robust fixed-time sliding mode control method based on the time-based generator is proposed. Secondly, a fixed-time distributed consensus tracking observer for double-integrator-type multi-agent systems is designed to estimate the state disagreements between the leader and the followers under undirected and directed communication, respectively. Thirdly, a fixed-time distributed average tracking observer for double-integrator-type multi-agent systems is designed to measure the average value of reference signals under undirected communication. Note that both the observers for the distributed consensus tracking and the distributed average…
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Neural Networks Stability and Synchronization · Adaptive Control of Nonlinear Systems
